Jhonny Aranguren

Jhonny Aranguren P DSL Tampa Bay

Age 20 RHP 6'1" / 184 lbs ROK

2027 FULL-SEASON PROJECTION0 act + 15 ip · rates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 127

ERA5.79

FIP5.79

K%18.6%

BB%18.0%

K-BB%0.6%

ROS IP15

Value2026 · WAR

Runs saved vs league avg · 15 IP

Grades · Contract

Scouting Grades

K†4545

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2024	17	ROK MLE	DSL Rays	8	1	12	60	15	5	0	12%	1.5	17.0%	10.4%	6.6%	0.0%	6.00	2.98	—
2024	17	ROK MLE	DSL Rays	8	1	12	60	15	5	0	12%	1.5	17.0%	10.4%	6.6%	0.0%	6.00	2.98	—
2024	17	ROK RAW	DSL Rays	8	1	12	60	15	5	0	12%	1.5	25.0%	8.3%	16.7%	0.0%	6.00	1.85	—
2025	18	ROK MLE	DSL Tampa Bay	13	1	21	106	20	24	1	8%	1.6	12.8%	28.3%	-15.5%	1.4%	5.91	6.36	—
2025	18	ROK MLE	DSL Tampa Bay	13	1	21	106	20	24	1	8%	1.6	12.8%	28.3%	-15.5%	1.4%	5.91	6.36	—
2025	18	ROK RAW	DSL Tampa Bay	13	1	21	106	20	24	1	8%	1.6	18.9%	22.6%	-3.8%	0.9%	5.91	5.21	—
2026	19	ROK MLE	DSL Tampa Bay	21	0	30	142	26	20	2	0%	1.4	12.5%	17.6%	-5.2%	2.0%	4.50	5.36	—
2026	19	ROK MLE	DSL Tampa Bay	21	0	30	142	26	20	2	0%	1.4	12.5%	17.6%	-5.2%	2.0%	4.50	5.36	—
2026	19	ROK RAW	DSL Tampa Bay	21	0	30	142	26	20	2	0%	1.4	18.3%	14.1%	4.2%	1.4%	4.50	4.23	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	TB	14	0	15	63	12	11	2	0%	1.1	18.6%	18.0%	0.6%	2.9%	5.79	5.79	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	TB	27	0	28	120	24	18	3	0%	1.1	19.8%	15.3%	4.5%	2.9%	5.46	5.33	-0.2
2028	21	MLB CTX	TB	13	0	14	59	12	9	2	0%	1.1	19.8%	15.3%	4.5%	2.9%	5.46	5.33	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	14	59	12	9	2	0%	1.1	19.8%	15.3%	4.5%	2.9%	5.46	4.95	-0.1
/ 200 IP	—	RAW		190	0	200	844	172	129	29	0%	1.1	19.8%	15.3%	4.5%	2.9%	5.46	4.95	-0.9
Career	—	MLE		42	2	63	308	41	61	4	5%	1.5	13.5%	19.9%	-6.4%	1.4%	5.26	5.24	-0.3
/ 200 IP	—	MLE		133	6	200	973	131	193	13	5%	1.5	13.5%	19.9%	-6.4%	1.4%	5.26	5.24	-1.8

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Jhonny Aranguren (OGILVIE)	—	—	5.79	18.6%	18.0%	2.9%	—	5.33	19.8%	4.5%	28	-0.46	—	—	—
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	90
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	90
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	88
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	87
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	87
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	85
Angel Reyes R 2018 · 4.91 FIP	20	SU	4.91	16.5%	19.4%	1.4%	.328	4.51	17.1%	5.7%	119	-0.40	3.99	308	85
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	85
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	85
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	85
Greg Weissert R 2016 · 5.22 FIP	21	SU	5.22	19.4%	19.3%	2.4%	.382	3.80	23.0%	10.3%	126	-1.42	2.57	487	85
Ryan Harbin R 2022 · 5.47 FIP	20	SU	5.47	14.4%	18.9%	2.2%	.317	4.18	24.0%	8.1%	156	-1.29	3.82	185	84
Ismael Aquino R 2019 · 4.89 FIP	20	SU	4.89	17.0%	16.5%	2.1%	.354	5.58	14.1%	-1.5%	14	+0.69	3.99	122	84
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	84
Samuel Fabian R 2023 · 6.61 FIP	20	SU	6.61	16.8%	27.4%	2.7%	.352	4.33	17.2%	4.8%	64	-2.28	4.21	120	84
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	84
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	84
Johan Quezada R 2015 · 4.65 FIP	20	SU	4.65	18.0%	17.2%	1.6%	.255	4.39	14.1%	-3.0%	53	-0.26	3.78	234	84
Alejandro Méndez R 2021 · 5.70 FIP	20	SU	5.70	14.6%	14.5%	3.6%	.321	5.60	15.8%	-7.5%	91	-0.10	4.65	136	83
Erian Rodriguez R 2022 · 5.51 FIP	20	SU	5.51	16.2%	19.8%	2.3%	.378	4.16	16.2%	3.6%	241	-1.35	3.81	287	83